Machine learning

Databricks Model Serving endpoint lifecycle and ops.

Generates code that transforms datasets between ML schemas for model training or evaluation.

Behavioral guidelines to reduce common LLM coding mistakes.

Design and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls.

Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment…

Train ML models on Databricks.

Databricks Model Serving endpoint lifecycle and ops.

Use when running a Roboflow Workflow over many images or videos with batch processing — Asset Library jobs (the platform stages workspace images for you) or…

Fetch any X/Twitter post as clean LLM-friendly JSON.

Design LLM-as-judge rubrics, direct scores and pairwise comparisons.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI…

Search indexed AI and ML jobs, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP

Build production-ready LLM applications, advanced RAG systems, and intelligent agents.

Overview of six AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit…

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

Run assay on a web page you just wrote or changed.

Extracts reusable ML techniques, code patterns, and feature engineering ideas from Kaggle competition winning solutions and maps where they apply.

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".

Compare two versions of an LLM-directed document - an original (teacher) and a candidate (student) - across a transfer set and return a per-case…

Make an LLM-directed document smaller while preserving what it does.

Build RAG / unstructured-document evaluation datasets and demo documents (e.g.

Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart…